Lead wet-process development and optimization for wafer fabrication: set process parameters, troubleshoot using SPC/DOE/FMEA/8D, drive yield/cost improvements, qualify processes/equipment, and mentor junior engineers.

Partner with site and supply chain to plan and optimize assembly and test network capacity. Drive capacity improvements, model and balance network capacity, influence SPO planning solves, coordinate asset transfers, support budgeting, benchmark workstation performance, and collaborate with cross-functional teams on scenario and tactical planning to meet production and revenue goals.

Maintain and model fab capacity, apply industrial engineering and statistical analysis to production planning and scheduling, lead cross-functional projects, develop improvements to production metrics, and coordinate capital and product introduction planning with engineering and operations.

Lead global product integration to improve yield, quality, and performance. Centralize project information, drive yield breakthroughs by analyzing test flows, device architecture, packaging and manufacturing interactions, lead cross-functional taskforces, define packaging and chip-package strategies, standardize BKMs, and travel to fabs to support execution.

Responsible for automating warehouse and receiving operations using ASRS, conveyors, RFID, AI analytics, OCR, barcode scanning, WMS integration, and digital twins. Support implementation, preventive and predictive maintenance, develop technical documentation and dashboards, collaborate with IT/operations/facilities, and drive continuous improvement and safety initiatives.

The role involves managing supplier performance, negotiating with suppliers, supporting capital budgeting, and implementing cost-saving programs.

As a NAND Module Process Integration Engineer, you will design, develop, and implement process solutions to enhance 3D NAND product yield and quality while coordinating activities for successful technology transfer to manufacturing.

Internship focusing on NAND memory cell films variation reduction through characterization techniques and materials chemistry for PhD candidates.

The CE PYE FA Engineer at Micron will perform fault isolation and physical failure analysis, collaborate with engineering teams, and drive continuous improvement in defectivity issues.

The role involves driving silicon node's Packaging Product yield and quality improvements, managing projects, and implementing innovative solutions across teams. Responsibilities include strategy definition, problem-solving, and effective communication with both peers and management to ensure project goals are met.

Develop and optimize semiconductor processes, lead cross-functional teams, and manage experiments to improve yield and process quality. Collaborate globally and protect intellectual property.

The role involves developing advanced thin film deposition processes, conducting experiments, performing root-cause analysis, mentoring junior engineers, and leading strategic technology initiatives.

Lead advanced thin film process development for NAND memory technology, directing multi-functional teams, resolving technical challenges, and mentoring engineers.

The role involves setting up, maintaining, and troubleshooting Micron's systems, enforcing worldwide standards, documenting processes, and coaching users.

As a QEM PQE Engineer, you will enhance memory product yields through analysis, lead improvements, and collaborate on defect resolution across teams.

The QEM PQE Quality Engineer will monitor and enhance the quality and reliability of memory/storage products, perform data management, drive continuous improvement, and ensure product quality for customer satisfaction.

The role involves maintaining and troubleshooting various systems, enforcing standards, documenting processes, coaching users, and supporting data analysis.

Represent the Fab10 site in SPMO collaboration, ensure site projects and network activities are implemented, lead program/project delivery to schedule, cost, and scope, plan timelines, provide performance updates, manage changes, and work with teams to identify and mitigate risks.

Designs and delivers technical training to build AI and technical capabilities: analyze learning needs, create instructional materials, deliver sessions, measure and improve training effectiveness, and implement AI/automation enhancements while collaborating with global partners and SMEs.

Design, develop, and deploy computer vision and deep learning solutions for manufacturing; extract and analyze large datasets; implement MLOps for production, lead cross-functional projects, mentor engineers, and communicate results to stakeholders.